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Do clinical and paraclinical findings have the power to predict critical conditions of injured patients after traumatic injury resuscitation?Using data mining artificial intelligence

引用

Chinese Journal of Traumatology 2021年第1期24卷 48-52页

作者： Shahram Paydar Elahe Parva Zahra Ghahramani saeedeh pourahmad Leila Shayan Vahid Mohammadkarimi Golnar Sabetian Trauma Research Center Shahid Rajaee(Emtiaz)Trauma HospitalShiraz University of Medical SciencesShirazIran Technical and Vocational University ShirazIran Department of Biostatistics Shiraz University of Medical SciencesShirazIran Department of Internal Medicine School of MedicineShiraz University of Medical SciencesShirazIran

Purpose The triage and initial care of injured patients and a subsequent right level of care is paramount for an overall outcome after traumatic *** recognition of patients is an important case of such decision-making with risk of worse *** article is to answer if clinical and paraclinical signs can predict the critical conditions of injured patients after traumatic injury *** The study included 1107 trauma patients,16 years and *** patients were trauma victims of Levels I and II triage and admitted to the Rajaee(Emtiaz)Trauma Hospital,Shiraz,in 2014–*** cross-industry process for data mining methodology and modeling was used for assessing the best early clinical and paraclinical variables to predict the patients’*** modeling methods including the support vector machine,K-nearest neighbor algorithms,Bagging and Adaboost,and the neural network were compared by some evaluation *** Learning algorithms can predict the deterioration of injured patients by monitoring the Bagging and SVM models with 99%*** most-fitted variables were Glasgow Coma Scale score,base deficit,and diastolic blood pressure especially after initial resuscitation in the algorithms for overall outcome *** Data mining could help in triage,initial treatment,and further decision-making for outcome measures in trauma *** and paraclinical variables after resuscitation could predict short-term outcomes much better than variables on *** artificial intelligence modeling system,diastolic blood pressure after resuscitation has a greater association with predicting early mortality rather than systolic blood pressure after *** intelligence monitoring may have a role in trauma care and should be further investigated.

关键词： Traumatic injuries Data mining Artificial Intelligence

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